Explaining chi-square goodness-of-fit test

Reference no: EM1321854

Q1) City of Oakdale wants to see if there is linear relationship between temperature and amount of electricity used (in kilowatts). Based on data in the table below, is there important linear relationship between temperature and amount of electricity used?

Temperature (x)	73	78	85	98	93	81	76	105
Kilowatts (y)	680	760	910	1510	1170	837	600	1800

a) Yes, the sample correlation coefficient is equal to 0.981, which gives evidence of a significant linear relationship.

b) Yes, sample correlation coefficient is equal to 0.878, which gives evidence of a significant linear relationship.

c) No, sample correlation coefficient is equal to 0.098, which doesn't give evidence of a significant linear relationship.

d) No, sample correlation coefficient is equal to 0.981, which doesn't give evidence of significant linear relationship.

Q2) In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.

a) True

b) False

Reference no: EM1321854

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